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PICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.

Similarity/Homology Assessment by Relating K-mers

Completly reimplmented Lipidxplorer, with adaptation layer to read lipidxplorer1 files

This is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.

Exploring cellpose (deep learning) for segmentation in 2D&3D. Including setup for GPU on cluster or workstation

Theory analysis and code for studying Drosophila wing disc eversion

Hexagonal spring network with pores are stretched. The resulting stress profile is analyzed. The aim is to verify the hypothesis that in the Zebrafish optic cup, ECM with more pores are under more stress than ECM with less pores.

Supplementary Jupyter notebook to our article "Lgr5+ stem/progenitor cells reside at the apex of the embryonic hepatoblast pool"

This repository contains source codes and notebook demos for trainin STENCIL-NET.

Implementation of 2D unet. Use as base for user projects.

PDE inference from limited spatio-temporal data

class definitions and methods for kirchhoff graphs